Construct a normal probability plot from the residuals

Assignment Help Basic Statistics
Reference no: EM13990489

Objectives: At the end of this assignment, you should be able to

• conduct a two-factor mixed-effects ANOVA analysis when K 1 and sample sizes are equal.

• Calculate and plot main and interaction effects.

• Design a simple ANOVA experiment.

1. A study was carried out to compare the writing lifetimes of four premium brands of pens. It was thought that the Writing surface might affect lifetime, so three different surfaces were randomly selected.

A writing machine was used to ensure that conditions were otherwise homoge-neous (e.g., constant pressure and a fixed angle).

The 'accompanying table shows the two lifetimes (min) obtained for each brand-surface combination.

 

 

1

Writing Surface

2                              3

 xi.

Brand

1

2

709, 659

668, 685

713. 726

722. 740

660, 645

692, 720

4112

4227

of Pen

3

659. 685

666. 684

678, 750

4122

 

4

698. 650

704.666

686, 733

4137

 

xj

5413

5621

5564

16,598

Carry out an appropriate ANOVA, and state your conclusions.

In this problem you conducted the analysis as if the pen and the paper were both fixed effects. This time, treat the pen type as fixed, but the paper as random. You can get most of the values you need from your work on PS 3 or the notes for PS 3, but will use them a bit differently. Also, use a = 0.10.

2. This time, treat the speed as a random effect. Also, determine a range for p.

The accompanying data resulted from an experiment to particular investigate whether yield from a certain chemical process depended either on the formulation of a input or on mixer speed.


Speed

60 70 80

189.7 185.1 189
1 188.6 179.4 193

190.1 177.3 191.1
Formulation


165.1 161.7 163.3
2 165.9 159.8 166.6

167.6 161.6 170.3

A statistical computer package gave SS (Form) = 2253.44, SS(Speed) = 230.81, SS(Form*Speed) = 18.58, and SSE = 71.87.

a. Does there appear to be interaction between the factors?

b. Does yield appear to depend on either formulation or speed?

c. Calculate estimates of the main effects.

d. The fitted values are x^ijk = µ^ + α^i + β^j + y^ij, and the residuals are xijk - x^ijk. Verify that the residuals are .23, -.87, .63, 4.50, -1.20, -3.30, -2.03, 1.97, .07, -1.10, -.30, 1.40, .67, -1.23, .57, -3.43, -.13, and 3.57.

e. Construct a normal probability plot from the residuals given in part (d). Do the ∈ijk's appear to be normally distributed?

3. Plot the main and interaction effect for the data in given problem.

The accompanying data was obtained in an experiment to investigate whether compressive strength of concrete cylinders depends on the type of capping material used or variability in different batches ("The Effect of Type of Capping Material on the Compressive Strength of Concrete Cylinders," Proceedings ASTM, 1958: 1166-1186). Each number is a cell total (xij.) based on K = 3 observations.



Batch 


1 2 3 4 5

1 1847 1942 1935 1891 1795
Capping Material   2 1779 1850 1795 1785 1626

3 1806 1892 1889 1891 1756

In addition ∑∑∑x2ijk = 16,815,853 and ∑∑x2ij = 50,443,409. Obtain the ANOVA table and then test at level .01 the hypotheses HOG versus HOA, Him versus Ham and HOB versus Hap assuming that capping material is a fixed effects factor and batch is a random effects factor.

Use the more efficient way discussed in given problem.

a. Show that E(X-i - X-..) = αi, so that X-i - X-.. is an unbiased estimator for α, (in the fixed effects model).

b. With Yij = X-ij, - X-i  - X-j + X-. Show that to is an unbiased estimator for y^ij, (in the fixed effects model).

Reference no: EM13990489

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